Journal article
The NAB2–STAT6 gene fusion in solitary fibrous tumor can be reliably detected by anchored multiplexed PCR for targeted next-generation sequencing
Cancer genetics, Vol.209(7-8), pp.303-312
07/2016
DOI: 10.1016/j.cancergen.2016.05.071
PMID: 27292373
Abstract
Solitary fibrous tumor (SFT) is a mesenchymal tumor of fibroblastic origin, which can affect any region of the body. 10–15% of SFTs metastasize and metastatic tumors are uniformly lethal with no effective therapies. The behavior of SFT is difficult to predict based on morphology. Recently, an intrachromosomal gene fusion between NAB2 and STAT6 was identified as the defining driving genetic event of SFT and different fusion types correlated with tumor histology and behavior. Due to the proximity of NAB2 and STAT6 on chromosome 12, this fusion may be missed by fluorescence in-situ hybridization. We evaluated 12 SFTs from 10 patients. All tumors showed strong nuclear staining for STAT6 by immunohistochemistry (IHC). The same formalin-fixed, paraffin-embedded blocks for IHC were used for gene fusion detection by a next-generation sequencing (NGS)-based assay. Targeted RNA fusion sequencing for gene fusions was performed using the Universal RNA Fusion Detection Kit, the Archer™ FusionPlex™ Sarcoma Panel and the Ion Torrent PGM, and data were analyzed using the Archer Analysis Pipeline 3.3. All tumors were positive for NAB2–STAT6 fusion. Six types of fusions were detected: NAB2ex4–STAT6ex2, NAB2ex2–STAT6ex5, NAB2ex6–STAT6ex16, NAB2ex6–STAT6ex17, NAB2ex3–STAT6ex18 and NAB2intron6–STAT6Ex17. The NGS findings were confirmed by RT-PCR followed by Sanger sequencing. No STAT6 fusion was detected in selected morphologic mimics of SFT. The assay also allows for detection of novel fusions and can detect NAB2–STAT6 fusions at a single-base resolution.
Details
- Title: Subtitle
- The NAB2–STAT6 gene fusion in solitary fibrous tumor can be reliably detected by anchored multiplexed PCR for targeted next-generation sequencing
- Creators
- Natalya V Guseva - Department of Pathology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USAMunir R Tanas - Department of Pathology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USAAaron A Stence - Department of Pathology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USARamakrishna Sompallae - Department of Pathology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USAJenna C Schade - Department of Pathology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USAAaron D Bossler - Department of Pathology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USAAndrew M Bellizzi - Department of Pathology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USADeqin Ma - Department of Pathology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA
- Resource Type
- Journal article
- Publication Details
- Cancer genetics, Vol.209(7-8), pp.303-312
- Publisher
- Elsevier Inc
- DOI
- 10.1016/j.cancergen.2016.05.071
- PMID
- 27292373
- ISSN
- 2210-7762
- eISSN
- 2210-7770
- Language
- English
- Date published
- 07/2016
- Academic Unit
- Pathology
- Record Identifier
- 9984047900202771
Metrics
38 Record Views